<p>Measuring isoform co-expression in single-cell RNAseq data to decode splicing coordination</p>

Ángeles Arzalluz Luque; Sonia Tarazona; Ana Conesa

doi:10.7490/f1000research.1117717.1

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Arzalluz Luque Á, Tarazona S and Conesa A. Measuring isoform co-expression in single-cell RNAseq data to decode splicing coordination [version 1; not peer reviewed]. F1000Research 2019, 8(ISCB Comm J):2009 (poster) (https://doi.org/10.7490/f1000research.1117717.1)

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Measuring isoform co-expression in single-cell RNAseq data to decode splicing coordination

Ángeles Arzalluz Luque¹, Sonia Tarazona, Ana Conesa²

Published 27 Nov 2019 (https://doi.org/10.7490/f1000research.1117717.1)

Author Affiliations

¹ Universidad Politécnica de Valencia, Spain
² University of Florida, USA

Copyright © 2019 Arzalluz Luque Á et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 27 Nov 2019

Measuring isoform co-expression in single-cell RNAseq data to decode splicing coordination
[version 1; not peer reviewed]

Ángeles Arzalluz Luque¹, Sonia Tarazona, Ana Conesa²

Author Affiliations

¹ Universidad Politécnica de Valencia, Spain
² University of Florida, USA

Presented at

Advances in Computational Biology Conference 2019

Abstract

Competing Interests

No competing interests were disclosed

Keywords

single-cell RNAseq, alternative splicing, transcriptomics, isoforms, functional analysis

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